Responsibilities:
Utilize statistical analysis and machine learning techniques to extract insights from large datasets and solve complex business problems.
Develop predictive models, algorithms, and data-driven solutions to optimize processes and drive business outcomes.
Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
Communicate findings and recommendations to stakeholders through reports, presentations, and data visualizations.
Qualifications:
Proficiency in programming languages such as Python or R for data analysis and machine learning.
Experience with statistical analysis, data mining, and predictive modeling techniques.
Knowledge of machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch.
Strong problem-solving skills and ability to work with large and complex datasets.
Bachelor's degree